Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/yuri-semenenko/ai-engineering-workspaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/yuri-semenenko/ai-engineering-workspace/complexity-audit)<a href="https://agentmods.dev/commands/yuri-semenenko/ai-engineering-workspace/complexity-audit"><img src="https://agentmods.dev/badge/commands/yuri-semenenko/ai-engineering-workspace/complexity-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/yuri-semenenko/ai-engineering-workspace/complexity-audit"><img src="https://agentmods.dev/badge/commands/yuri-semenenko/ai-engineering-workspace/complexity-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00013 | $0.00330 |
| Opus 5.5 | $0.00005 | $0.00132 |
| Sonnet 5.5 | $0.00003 | $0.00066 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
complexity-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Complexity Audit Prompt
Role: Act as a senior engineer hunting accidental complexity that already shipped.
Context: This is a standing-codebase scan, not a review of the current change. Review the repository (or the subtree the user names) rather than a single diff.
Task: Find over-engineering and return a prioritized, deletion-oriented report.
What counts as over-engineering:
- Premature abstraction / speculative generality (interfaces with one implementation, config for things that never vary).
- Pattern-heavy designs where a function would do (factories, managers, base classes added "for the future").
- Needless layering or indirection with no payoff; wrapper modules that only re-export.
- Framework-driven structure that does not follow the domain.
- Dead code, unused flags, config that no longer changes behavior.
- Tight coupling and leaky abstractions behind clean-looking names.
Constraints:
- Do not flag intentional // TRADEOFF(...) annotations, validation, error handling, security, or tested invariants.
- Prefer evidence: cite file and line for each finding.
- No marketing prose; state assumptions explicitly.
Output Format: A table ordered most-impactful first, with columns: Severity | Location (file:line) | What is over-built | Why it does not pay for itself | Proposed simplification | Risk of removing. End with a short "highest-leverage deletions" shortlist.
Success Criteria:
- Findings are concrete and located, not vague.
- Severity reflects blast radius and how speculative the code is.
- Each finding has a realistic simplification.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 36 lines · 13 tokens per session scan A 0f9f17f79b15
complexity-audit is a command published in the GitHub repository yuri-semenenko/ai-engineering-workspace (4 stars, last pushed 3d ago), licensed MIT. It adds 13 tokens to every session and 330 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-31.
complexity-audit compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| complexity-audityuri-semenenko/ai-engineering-workspace | Command | 4 | 3d ago | MIT | A | 13 | GitHub Copilot |
| pr-quality-gate-qarjmurillo/ai-agents | Command | 49 | yesterday | MIT | A | 0 | GitHub Copilot |
| pr-quality-gate-agent-safetyrjmurillo/ai-agents | Command | 49 | yesterday | MIT | A | 0 | Claude Code, GitHub Copilot |
| pr-quality-gate-code-qualityrjmurillo/ai-agents | Command | 49 | yesterday | MIT | A | 0 | GitHub Copilot |
| pr-quality-gate-decision-rigorrjmurillo/ai-agents | Command | 49 | yesterday | MIT | A | 0 | GitHub Copilot |
| pr-quality-gate-reliabilityrjmurillo/ai-agents | Command | 49 | yesterday | MIT | A | 0 | GitHub Copilot |
| pr-quality-gate-roadmaprjmurillo/ai-agents | Command | 49 | yesterday | MIT | A | 0 | GitHub Copilot |